Level

Farfetch

AI & Automation Engineer

Farfetch is hiring an AI & Automation Engineer in Porto, Portugal. Level rates it ; you can apply on Farfetch.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions Python, LLMs and AI agents among its tools and skills.
  • Level classes it as a mid-level role.
  • Farfetch has 44 other open roles on Level.
  • Posted within the past week.

AI in this role

AI & Automation Engineer building production-grade AI-driven ingestion and enrichment pipelines for luxury product catalogs.

pythonllms
ai-agentsai-engineeringautomationpipelinesworkflow-orchestration
Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.   OPERATIONS The Operations team serves as the backbone of our marketplace, seamlessly managing the entire order journey. From creating online content and ensuring secure payments to order fulfillment and delivery, while providing comprehensive customer and partner care, this team is relentlessly focused on improving the customer experience every single day.   PORTO
Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.   THE ROLE   As an AI & Automation Engineer, you will act as both builder and strategic architect. You’ll partner with Product, Data and Operations to eliminate process bottlenecks and deploy production-grade systems that scale, helping evolve internal AI efforts into a centralized service capability.   THE CHALLENGE 

“How do you process millions of luxury product SKUs, unstructured brand attributes and high-volume media assets with speed, precision and low human friction?”

At Farfetch, our Catalogue and Content domain powers the digital storefront for the world’s leading fashion brands and boutiques. We are building the next generation of automated, AI-driven ingestion and enrichment pipelines. We aren't looking for someone to shoehorn LLMs into every problem, we need someone who knows when a deterministic Python script wins, when a workflow DAG is required and when a multi-step AI agent can accelerate our time to market.


How we rate this

AI & Automation Engineer at Farfetch rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI EngineeringAutomationPipelinesWorkflow OrchestrationPythonLLMs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where ai engineering was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where pipelines was part of your work. What did you do?
  5. Tell me about a project where workflow orchestration was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, AI Engineering, Automation, Pipelines, and Workflow Orchestration. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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